Ananya Malik — accepted AI-conference papers

2025

Are LLMs Empathetic to All? Investigating the Influence of Multi-Demographic Personas on a Model’s Empathy

Ananya Malik, Nazanin Sabri, Melissa M. Karnaze, Mai ElSherief

EMNLP 2025

Large Language Models’ (LLMs) ability to converse naturally is empowered by their ability to empathetically understand and respond to their users. However, emotional experiences are shaped by demographic and cultural contexts. This raises an important question: Can LLMs demonstrate equitable empathy

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2025

Who Speaks Matters: Analysing the Influence of the Speaker’s Linguistic Identity on Hate Classification

Ananya Malik, Kartik Sharma, Shaily Bhatt, Lynnette Hui Xian Ng

EMNLP 2025

Large Language Models (LLMs) offer a lucrative promise for scalable content moderation, including hate speech detection. However, they are also known to be brittle and biased against marginalised communities and dialects. This requires their applications to high-stakes tasks like hate speech detecti

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